Manager - Data Science - Analytics - Mumbai - Lower Parel - JM

1. Business Problem Understanding & Approach Development

• Engage stakeholders to understand problem statements
• Participate in cross-functional discussions to understand processes and identify analytical opportunities
• Translate business requirements into structured analytical approaches and solution frameworks

2. Model Development & Analytical Solutions

• Apply appropriate statistical and machine learning techniques to solve business problems
• Ensure models are robust, interpretable, and aligned with business use

3. Business Analysis & Insight Generation

• Conduct detailed data analysis to identify trends, patterns, and performance gaps
• Generate insights to support decision-making across lifecycle stages
• Translate analytical outputs into clear, actionable business recommendations

4. End-to-End Project Ownership

• Own delivery of analytics projects from problem definition to implementation and monitoring
• Manage timelines, stakeholder expectations, and delivery quality

5. Model Scoring & Performance Tracking

• Perform regular model scoring (monthly / periodic) to classify accounts into categories such as high, medium, and low risk
• Track model performance and stability over time
• Identify shifts in model behaviour and recommend recalibration where required

6. Implementation & Deployment Coordination

• Work closely with IT and data teams to deploy models into production systems
• Ensure smooth integration of models into business processes and workflows
• Validate outputs post-deployment to ensure accuracy and usability

7. Stakeholder Communication & Presentation

• Present analysis, models, and insights to business and functional stakeholders
• Explain methodologies and outputs in a clear and structured manner
• Support decision-making through data-backed recommendations